Required Qualifications
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Bachelors Masters or Doctorate in Computer Science Engineering or a related technical field.
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From an overall experience atleast 4 to 5 years of hands-on experience in GoLang for backend systems and microservices.
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Demonstrated experience in designing and delivering distributed event-driven architectures.
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Strong knowledge of RESTful APIs message queues (e.g. Kafka NATS) and service communication patterns.
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Familiarity with in-memory data stores like Redis or Memcached.
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Working knowledge of cloud platforms (AWS Azure or GCP) and cloud-native design principles.
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Experience with containerization (Docker) and orchestration tools like Kubernetes.
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Good understanding of CI/CD practices version control systems (e.g. Git) and automation pipelines.
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Solid grounding in secure coding practices web application security and data protection regulations.
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Strong problem-solving and system design skills; ability to evaluate trade-offs and optimize for performance and reliability.
What would work along with the above
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Experience with Java or Python as secondary languages.
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Exposure to AI/ML systems or Generative AI tools and workflows.
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Knowledge of NoSQL databases and large-scale storage architectures.
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Prior experience working in a SaaS startup or high-growth tech environment
Required Qualifications Bachelors Masters or Doctorate in Computer Science Engineering or a related technical field. From an overall experience atleast 4 to 5 years of hands-on experience in GoLang for backend systems and microservices. Demonstrated experience in designing and delivering dis...
Required Qualifications
-
Bachelors Masters or Doctorate in Computer Science Engineering or a related technical field.
-
From an overall experience atleast 4 to 5 years of hands-on experience in GoLang for backend systems and microservices.
-
Demonstrated experience in designing and delivering distributed event-driven architectures.
-
Strong knowledge of RESTful APIs message queues (e.g. Kafka NATS) and service communication patterns.
-
Familiarity with in-memory data stores like Redis or Memcached.
-
Working knowledge of cloud platforms (AWS Azure or GCP) and cloud-native design principles.
-
Experience with containerization (Docker) and orchestration tools like Kubernetes.
-
Good understanding of CI/CD practices version control systems (e.g. Git) and automation pipelines.
-
Solid grounding in secure coding practices web application security and data protection regulations.
-
Strong problem-solving and system design skills; ability to evaluate trade-offs and optimize for performance and reliability.
What would work along with the above
-
Experience with Java or Python as secondary languages.
-
Exposure to AI/ML systems or Generative AI tools and workflows.
-
Knowledge of NoSQL databases and large-scale storage architectures.
-
Prior experience working in a SaaS startup or high-growth tech environment
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